iPhone 8 Plus
Geekbench ML Score
423
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2023 08:06 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
360
38.6 IPS |
|
|
Image Classification (F16)
|
100% |
360
38.5 IPS |
|
|
Image Classification (I8)
|
81% |
409
43.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
1.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
758
4.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
170
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
166
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
448
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
501
17.6 IPS |
|
|
Object Detection (I8)
|
52% |
519
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
661
7.60 IPS |
|
|
Face Detection (F16)
|
100% |
649
7.46 IPS |
|
|
Face Detection (I8)
|
75% |
604
6.94 IPS |
|
|
Text Classification (F32)
|
100% |
630
249.3 IPS |
|
|
Text Classification (F16)
|
100% |
679
268.7 IPS |
|
|
Machine Translation (F32)
|
100% |
730
112.5 IPS |
|
|
Machine Translation (F16)
|
100% |
746
114.9 IPS |
